Malignant pleural mesothelioma (MPM) is a highly lethal cancer of the lining of the chest cavity. To expand our understanding of MPM, we conducted a comprehensive integrated genomic study, including the most detailed analysis of BAP1 alterations to date. We identified histology-independent molecular prognostic subsets, and defined a novel genomic subtype with TP53 and SETDB1 mutations and extensive loss of heterozygosity. We also report strong expression of the immune checkpoint gene VISTA in epithelioid MPM, strikingly higher than in other solid cancers, with implications for the immune response to MPM and for its immunotherapy. Our findings highlight new avenues for further investigation of MPM biology and novel therapeutic options.

Activating mutations in PIK3CA, the gene encoding phosphoinositide-(3)-kinase α (PI3Kα), are frequently found in estrogen receptor (ER)–positive breast cancer. PI3Kα inhibitors, now in late-stage clinical development, elicit a robust compensatory increase in ER-dependent transcription that limits therapeutic efficacy. We investigated the chromatin-based mechanisms leading to the activation of ER upon PI3Kα inhibition. We found that PI3Kα inhibition mediates an open chromatin state at the ER target loci in breast cancer models and clinical samples. KMT2D, a histone H3 lysine 4 methyltransferase, is required for FOXA1, PBX1, and ER recruitment and activation. AKT binds and phosphorylates KMT2D, attenuating methyltransferase activity and ER function, whereas PI3Kα inhibition enhances KMT2D activity. These findings uncover a mechanism that controls the activation of ER by the posttranslational modification of epigenetic regulators, providing a rationale for epigenetic therapy in ER-positive breast cancer.

SUMMARY We present an integromic analysis of gene alterations that modulate transforming growth factor β (TGF-β)-Smad–mediated signaling in 9,125 tumor samples across 33 cancer types in The Cancer Genome Atlas (TCGA). Focusing on genes that encode mediators and regulators of TGF-β signaling, we found at least one genomic alteration (mutation, homozygous deletion, or amplification) in 39% of samples, with highest frequencies in gastrointestinal cancers. We identified mutation hotspots in genes that encode TGF-β ligands (BMP5), receptors (TGFBR2, AVCR2A, BMPR2), and Smads (SMAD2, SMAD4). Alterations in the TGF-β superfamily correlated positively with expression of metastasis-associated genes and with decreased survival. Correlation analyses showed the contributions of mutation, amplification, deletion, DNA methylation, and miRNA expression to transcriptional activity of TGF-β signaling in each cancer type. This study provides a broad molecular perspective relevant for future functional and therapeutic studies of the diverse cancer pathways mediated by the TGF-β superfamily.

SUMMARYT cell receptor (TCR) signaling plays a key role in T cell fate determination. Precursor cells expressing TCRs within a certain low affinity range for self peptide-MHC complexes undergo positive selection and differentiate into naïve T cells expressing a highly diverse self-MHC restricted TCR repertoire. In contrast, precursors displaying TCRs with a high affinity for “self” are either eliminated through TCR agonist induced apoptosis (negative selection)1 or restrained by regulatory CD4+ T (Treg) cells, whose differentiation and function are controlled by the X-chromosome encoded transcription factor Foxp3 (review2). Foxp3 is expressed in a fraction of self-reactive T cells that escape negative selection in response to agonist driven TCR signals combined with interleukin-2 (IL-2) receptor signaling. In addition to Treg cells, TCR agonist-driven selection results in the generation of several other specialized T cell lineages like NKT and MAIT cells3. Although the latter exhibit a restricted TCR repertoire, Treg cells display a highly diverse collection of TCRs4-6, Here we explored whether a specialized mechanism enables agonist driven selection of Treg cells with a diverse TCR repertoire and its significance for self-tolerance. We found that intronic Foxp3 enhancer CNS3 acts as an epigenetic switch that confers a poised state to the Foxp3 promoter in precursor cells to make Treg cell lineage commitment responsive to a broad range of TCR stimuli, particularly to suboptimal ones. CNS3-dependent expansion of the TCR repertoire enables Treg cells to effectively control self-reactive T cells, especially when thymic negative selection was genetically impaired. Our findings highlight the complementary roles of these two main mechanisms of self-tolerance.

DNA damage-induced signaling by ATR and CHK1 inhibits DNA replication, stabilizes stalled and collapsed replication forks, and mediates the repair of multiple classes of DNA lesions. We and others have shown that ATR kinase inhibitors, three of which are currently undergoing clinical trials, induce excessive origin firing during unperturbed DNA replication, indicating that ATR kinase activity limits replication initiation in the absence of damage. However, the origins impacted and the underlying mechanism(s) have not been described. Here, we show that unperturbed DNA replication is associated with a low level of ATR and CHK1 kinase signaling and that inhibition of this signaling induces dormant origin firing at sites of ongoing replication throughout the S phase. We show that ATR and CHK1 kinase inhibitors induce RIF1 Ser2205 phosphorylation in a CDK1-dependent manner, which disrupts an interaction between RIF1 and PP1 phosphatase. Thus, ATR and CHK1 signaling suppresses CDK1 kinase activity throughout the S phase and stabilizes an interaction between RIF1 and PP1 in replicating cells. PP1 dephosphorylates key CDC7 and CDK2 kinase substrates to inhibit the assembly and activation of the replicative helicase. This mechanism limits origin firing during unperturbed DNA replication in human cells.

WEE1 kinase is a key regulator of the G2/M transition. The WEE1 kinase inhibitor AZD1775 (WEE1i) induces origin firing in replicating cells. We show that WEE1i induces CDK1-dependent RIF1 phosphorylation and CDK2- and CDC7-dependent activation of the replicative helicase. WEE1 suppresses CDK1 and CDK2 kinase activities to regulate the G1/S transition after the origin licensing is complete. We identify a role for WEE1 in cell cycle regulation and important effects of AZD1775, which is in clinical trials.

No abstract

Cancer cells acquire genetic and epigenetic alterations that often lead to dysregulation of oncogenic signal transduction pathways, which in turn alters downstream transcriptional programs. Numerous methods attempt to deduce aberrant signaling pathways in tumors from mRNA data alone, but these pathway analysis approaches remain qualitative and imprecise. In this study, we present a statistical method to link upstream signaling to downstream transcriptional response by exploiting reverse phase protein array (RPPA) and mRNA expression data in The Cancer Genome Atlas (TCGA) breast cancer project. Formally, we use an algorithm called affinity regression to learn an interaction matrix between upstream signal transduction proteins and downstream transcription factors (TFs) that explains target gene expression. The trained model can then predict the TF activity, given a tumor sample’s protein expression profile, or infer the signaling protein activity, given a tumor sample’s gene expression profile. Breast cancers are comprised of molecularly distinct subtypes that respond differently to pathway-targeted therapies. We trained our model on the TCGA breast cancer data set and identified subtype-specific and common TF regulators of gene expression. We then used the trained tumor model to predict signaling protein activity in a panel of breast cancer cell lines for which gene expression and drug response data was available. Correlations between inferred protein activities and drug responses in breast cancer cell lines grouped several drugs that are clinically used in combination. Finally, inferred protein activity predicted the clinical outcome within the METABRIC Luminal A cohort, identifying high- and low-risk patient groups within this heterogeneous subtype.